The aim of the study was to evaluate hypertension (HT) prevalence, characteristics, and impact on clinical outcome in patients with Alzheimer's disease (AD). We evaluated 701 patients with AD (249 males, 452 females, and mean age 74.9 ± 7.5 years). As a group representing general population matched with regard to age, education level, and place of residence, we included 762 subjects (438 males, 324 females, and mean age 74.7 ± 4.4 years) from the Polish National Multicenter Health Survey (WOBASZ) studies. The patients with AD were characterized by lower systolic blood pressure (BP) and diastolic BP values (134 ± 21 vs. 151 ± 23 mm Hg, P < .001 and 77 ± 11 vs. 86 ± 12 mm Hg, P < .001, respectively) as well as lower HT prevalence (66% vs. 78.6%, P < .001) compared with the WOBASZ group. In long-term follow-up of AD group, HT and BP levels were not associated with the decline in cognitive functions nor the increased risk of death. Patients with AD were characterized by lower prevalence of HT and other vascular risk factors. BP levels and HT had no impact on clinical outcome.
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http://dx.doi.org/10.1016/j.jash.2015.07.002 | DOI Listing |
J Neuroimaging
December 2024
Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Background And Purpose: In idiopathic normal pressure hydrocephalus (iNPH) patients, cerebrospinal fluid (CSF) flow is typically evaluated with a cardiac-gated two-dimensional (2D) phase-contrast (PC) MRI through the cerebral aqueduct. This approach is limited by the evaluation of a single location and does not account for respiration effects on flow. In this study, we quantified the cardiac and respiratory contributions to CSF movement at multiple intracranial locations using a real-time 2D PC-MRI and evaluated the diagnostic value of CSF dynamics biomarkers in classifying iNPH patients.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neuroregeneration, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands.
Introduction: Some individuals show intact cognition despite the presence of neuropathological hallmarks of Alzheimer's disease (AD). The plasticity of parvalbumin (PV)-containing interneurons might contribute to resilience. Perineuronal nets (PNNs), that is, extracellular matrix structures around neurons, modulate PV neuron function.
View Article and Find Full Text PDFEpilepsia
December 2024
Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Objective: The 5xFAD mouse model of Alzheimer disease (AD) recapitulates amyloid-beta (Aβ) deposition and pronounced seizure susceptibility observed in patients with AD. Forty-hertz audiovisual stimulation is a noninvasive technique that entrains gamma neural oscillations and can reduce Aβ pathology and modulate glial expression in AD models. We hypothesized that 40-Hz sensory stimulation would improve seizure susceptibility in 5xFAD mice and this would be associated with reduction of plaques and modulation of glial phenotypes.
View Article and Find Full Text PDFBrain Commun
December 2024
Oslo Center for Clinical Heart Research, Department of Cardiology Ullevaal, Oslo University Hospital, Oslo 0424, Norway.
Delirium is a neuropsychiatric syndrome commonly presenting during acute illness. The pathophysiology of delirium is unknown, but neuroinflammation is suggested to play a role. In this cross-sectional study, we aimed to investigate whether cell-free DNA and markers of neutrophil extracellular traps in serum and CSF were associated with delirium and neuronal damage, assessed by neurofilament light chain.
View Article and Find Full Text PDFFront Neurol
December 2024
Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Alzheimer's disease (AD) is a neurodegenerative ailment that is becoming increasingly common, making it a major worldwide health concern. Effective care depends on an early and correct diagnosis, but traditional diagnostic techniques are frequently constrained by subjectivity and expensive costs. This study proposes a novel Vision Transformer-equipped Convolutional Neural Networks (VECNN) that uses three-dimensional magnetic resonance imaging to improve diagnosis accuracy.
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